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typecraft.dev | ||
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blog.bencope.land
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| | | | | This post is for Day 6 of F# Advent Calendar. We all know the go-to languages for most companies in application software development: Java, C#, TypeScript, and Python, to name a few. There's obviously nothing wrong with using these ubiquitous languages, but there's a tendency to overlook the potential of | |
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www.marclittlemore.com
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| | | | | Writing software is hard. It's inherently complex. How do we make it simpler? | |
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iferminm.gitlab.io
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| | | | | More than writing code | |
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bit-player.org
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| | | [AI summary] The text explores the capabilities and limitations of large language models (LLMs), comparing them to human cognition and historical AI efforts. It discusses how LLMs generate text, their training on vast data, and their ability to mimic human-like reasoning. The piece also touches on the debate about whether LLMs truly 'think' or merely simulate understanding. Additionally, it references various studies, experiments, and examples, such as Shakespeare's plays, word ladders, and code generation, to illustrate the current state of AI and its potential future developments. The text concludes with a balanced view of LLMs' strengths and the ongoing challenges in achieving true artificial general intelligence (AGI). | ||
